Context Engineering: The Art of Information Selection in AI Systems
"Context engineering is building dynamic systems to provide the right information and tools in the right format such that the LLM can plausibly accomplish the task." — LangChain
If you've been building with AI for a while, you've probably hit the wall where simple prompts just aren't enough anymore. Your carefully crafted prompts fail on edge cases, your AI assistant gets confused with complex tasks, and your applications struggle to maintain coherent conversations. These frustrations aren't accidental—they reveal a fundamental shift happening in AI development.
Companies like OpenAI, Anthropic, Notion, and GitHub aren't just building better models; they're pioneering entirely new approaches to how information, tools, and structure flow into AI systems. This is the essence of context engineering.